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Paper Citation Record · LEDGER

Can Rationalization Improve Robustness?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.11790.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.11790 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:56.075498Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T12:54:44.725429Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e9436565-37b1-4a24-be52-7c2e10bfc29a · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Can Rationalization Improve Robustness?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:54:44.726979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:8c04585e8b532d72ddc92a0d0b19225dcdf62a22537ba15fba61c738b9059687

Observation b2888d39-e4c4-4ff9-ab40-37e5e404228e · inbound

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning cites this paper.

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Can Rationalization Improve Robustness?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:56.075498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:56.075498Z digest=sha256:f57febc8eefb0793a304a21b44fbf0b5d6fc7c78f8c8e8604a1aca3cc9279f86